Generative AI in 20 Minutes: (Coffee Break Series)

A worthwhile addition to my shelf, with realistic expectations.

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The progression from chapter to chapter is well thought out; nothing feels out of order. I particularly liked the way the author builds up from simple cases before introducing the harder material. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

Excellent from start to finish. No filler, no padding.

I came to this book already familiar with the basics, and it still had plenty to offer. A couple of chapters felt like they could have been merged, but that is a minor complaint. A few of the examples could be more realistic, but the underlying points come across clearly. A few of the examples could be more realistic, but the underlying points come across clearly. An easy five stars from me. I look forward to whatever the author writes next.

Exactly the book I needed. Straight to the point and genuinely useful.

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. The code samples assume a particular environment, which took a bit of fiddling to get running properly. It is denser than the page count suggests, and I found myself slowing down around the middle. Worth the money and the reading time, without hesitation.